Human activity monitoring is an exciting research area to assist independent living among disabled and elderly population. Various techniques have been proposed recognise human activities, such as exploiting sensors, cameras, wearables, contactless microwave sensing. Among these, the sensing has recently gained significant attention due its merit solve privacy concerns of cameras discomfort caused by wearables. However, existing a basic disadvantage requiring controlled ideal settings for...

Sign language is a means of communication between the deaf community and normal hearing people who use hand gestures, facial expressions, body to communicate. It has same level complexity as spoken language, but it does not employ sentence structure English. The motions in sign comprise range distinct finger articulations that are occasionally synchronized with head, face, body. Existing recognition systems mainly camera-based, which have fundamental limitations poor lighting conditions,...

Abstract Current approaches to activity-assisted living (AAL) are complex, expensive, and intrusive, which reduces their practicality end user acceptance. However, emerging technologies such as artificial intelligence wireless communications offer new opportunities enhance AAL systems. These improvements could potentially lower healthcare costs reduce hospitalisations by enabling more effective identification, monitoring, localisation of hazardous activities, ensuring rapid response...

Ambient computing is gaining popularity as a major technological advancement for the future. The modern era has witnessed surge in healthcare systems, with viable radio frequency solutions proposed remote and unobtrusive human activity recognition (HAR). Specifically, this study investigates use of Wi-Fi channel state information (CSI) novel method ambient sensing that can be employed contactless means recognizing indoor environments. These methods avoid additional costly hardware required...

Non-invasive indoor human activity detection using radio waves has attracted the interest of researchers, contributing to a range new applications including smart healthcare. Localisation activities can assist in developing advanced healthcare systems able identify location patients. Radio frequencies have been shown numerous studies as non-invasive method activity. This is achieved by observing signal propagation described Channel State Information (CSI). paper presents experimental results...

This article presents a study on contactless localization for activity recognition based radio frequency (RF) sensing. The focus of this is the quantitative analysis collected data, which in form channel state information (CSI). proposed method utilizes software-defined (SDR) system combination with an ensemble learning technique to localize and identify daily living activities such as leaning, sitting, standing, walking. Specifically, SDR device, universal software peripheral (USRP) model...

Complex software systems that support organizations are updated regularly, which can erode system architectures. Moreover, documentation is rarely synchronized with the changes to system. This creates a slew of issues for future maintenance. To this goal, information extraction tools use exact approaches extract entities and their corresponding relationships from source code. Such all features, including those less prominent may not be significant modularization. In order resolve issue, work...

This study proposes a secure and effective lips-reading system that can accurately detect lips movements, even when face masks are worn. The utilizes radio frequency (RF) sensing ultra-wideband (UWB) radar technology, which overcomes the challenges posed by traditional vision-based systems. By leveraging deep learning models, interprets mouth movements achieves an overall accuracy of 90% for both mask-on mask-off scenarios. utilized trusted dataset from University Glasgow (UoG), consisting...

The elderly population is growing, and the healthcare system experiencing a strain on services provided to elderly. recent COVID-19 pandemic has increased this resulted in an risk of exposure during visits homes, increasing desire provide technological solutions counteract this. Currently, there lack reliable real-time noninvasive sensing systems. This article makes use radio-frequency (RF) sensing, where signal propagation observed channel state information (CSI) reports activities daily...

Human Activity Recognition (HAR) in an indoor environment is imperative to enhancing healthcare, reducing costs, and minimising hospitalisation. Innovative solutions are required as single-sensor conventional systems have privacy cost issues. Recent advances artificial intelligence wireless communications facilitated the development of system like RFIDAR, a novel fusion combining Radio Frequency Identification (RFID) Radar technology. The RFIDAR can recognise array human activities due its...

This study presents a novel computational radio frequency identification (RFID) system designed specifically for assisting blind individuals, utilising software-defined (SDR) with coherent detection. The employs battery-less ultra-high-frequency (UHF) tag arrays in Gen2 RFID systems, enhancing the transmission of sensed information beyond standard bits. Our method uses an SDR reader to efficiently manage multiple tags preambles implemented on single transceiver card. results highlight...

Fall detection (FD) in elderly people is crucial for preventing serious injuries that could lead to prolonged dependence and even death severe cases. The world health organization reports 50% of fall annually, underscoring the need early FD prevent hospitalized or dying accidents. Contactless systems have developed as a viable alternative wearable sensor-based detecting falls amid concern security privacy. This paper proposes contactless system leverages passive UHF RFID tag array measure...

There are many security and surveillance applications in which camera-based or invasive human activity recognition is not permissible due to privacy, insecurity, discomfort issues. Moreover, vision-based systems have a few key technical challenges that limit their practicality such as bad illumination, obstacles, occlusion. In cases, we require more reliable system can work challenging situations darkness, long-range, through walls rainy smoky environment where do deliver good results. Only...

Sign language is a mean of communication between the deaf community and hearing people, who use hand gestures, facial expressions, body to communicate. It has same level complexity as spoken language, but it does not employ sentence structure English. The motions in sign are made up range distinct finger articulations that occasionally synchronized with head, face, body. Existing recognition systems mainly camera-based, which have fundamental limitations poor lighting conditions, potential...

Complex software systems, meant to facilitate organizations, undergo frequent upgrades that can erode the system architectures. Such erosion makes understandability and maintenance a challenging task. To this end, modularization provides an architectural-level view helps understand architecture from its source code. For modularization, nondeterministic search-based optimization uses single-factor single-objective, multifactor multiobjective, which have been shown outperform deterministic...

In the field of data-driven healthcare systems, wireless-based human activity monitoring in an indoor environment is getting popular. Localization activities can help patients to get remote healthcare. Wearable devices are employed modern despite fact that they be inconvenient and expensive. Several studies have shown analyzing variations Channel State Information (CSI) used identify monitor health utilizing radio frequencies. The results experiment using Software Defined Radio (SDR)...

Ambient computing is getting popular as one of the most substantial technological advances in future. In present era, human activity tracking, indoor localization, and healthcare systems are all developing rapidly. Researchers able to find practical solutions facilities that often need locate humans with growing affordability power Radio Frequency (RF) technology. RF appealing monitor activities an unobtrusive remote manner. Channel State Information (CSI) can be used a contactless method...

Ambient computing is gaining popularity as a major technological advancement for the future. The modern era has witnessed surge in healthcare systems, with viable radio frequency solutions proposed remote and unobtrusive human activity recognition (HAR). Specifically, this study investigates use of Wi-Fi channel state information (CSI) novel method ambient sensing that can be employed contactless means recognizing indoor environments. These methods avoid additional costly hardware required...

Sign language is a mean of communication between the deaf community and hearing people, who use hand gestures, facial expressions, body to communicate. It has same level complexity as spoken language, but it does not employ sentence structure English. The motions in sign are made up range distinct finger articulations that occasionally synchronized with head, face, body. Existing recognition systems mainly camera-based, which have fundamental limitations poor lighting conditions, potential...

Human activity detection in indoor environments is an attractive research field that can assist the elderly and disabled live independently. To detect human activity, various technologies have been proposed, including use of sensors, cameras, wear-ables, contactless radio frequency (RF). With applications localization, smart homes, retail, gesture recognition, intrusion detection, etc., RF sensing has potential to become a universal mechanism due omnipresent electromagnetic signals....